Topological voiceprints for speaker identification

Despite its noninvasive nature, subject identification by voice is not as popular as other biometric procedures (i.e. fingerprinting). In part, this is due to the difficulty of establishing how close is close enough when comparing spectral features. In this work, we address this issue by showing how...

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Autor principal: Trevisan, M.A
Otros Autores: Eguia, M.C, Mindlin, G.B
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2005
Acceso en línea:Registro en Scopus
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Registro en la Biblioteca Digital
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100 1 |a Trevisan, M.A. 
245 1 0 |a Topological voiceprints for speaker identification 
260 |c 2005 
270 1 0 |m Mindlin, G.B.; Departamento de Física, FCEyN, Univ. de Buenos Aires Cd. Univ., Pab. 1 CI428EGA Buenos Aires, Argentina; email: gabo@df.uba.ar 
506 |2 openaire  |e Política editorial 
504 |a Rabiner, L., Juang, B., (1993) Fundamentals of Speech Recognition, pp. 24-256. , Prentice-Hall 
504 |a Titze, I., (1994) The Physics of Voice Production, , Allyn and Bacon 
504 |a Ishizaka, K., Flanagan, J.L., (1972) Bell Syst. Techn. J., 51, p. 1233 
504 |a Laje, R., Gardner, T., Mindlin, G.B., (2001) Phys. Rev. E, 64, p. 056201 
504 |a Solari, H.G., Gilmore, R., (1988) Phys. Rev. A, 37, p. 3096 
504 |a Mindlin, G.B., Hou, X., Solari, H., Gilmore, R., Tufillaro, N.B., (1990) Phys. Rev. Lett., 64, p. 2350 
504 |a Mindlin, G.B., Gilmore, R., (1992) Physica D, 58, p. 229 
504 |a Gilmore, R., Topological analysis of chaotic dynamical systems (1998) Rev. Mod. Phys., 70, p. 1455 
504 |a Gilmore, R., Lefranc, M., (2002) The Topology of Chaos, pp. 131-160. , Wiley 
504 |a Press, H.W., Numerical recipes (1999) C: the Art of Scientific Computing, pp. 564-574. , Cambridge University 
504 |a Lefranc, M., Glorieux, P., (1993) Int. J. Bifurcation Chaos, 3, p. 643 
520 3 |a Despite its noninvasive nature, subject identification by voice is not as popular as other biometric procedures (i.e. fingerprinting). In part, this is due to the difficulty of establishing how close is close enough when comparing spectral features. In this work, we address this issue by showing how to characterize spectra by means of sets of integers, borrowing topological tools used in the theory of dynamical systems. On the other hand, we report an empirical result: within a relatively small bank of speakers, there are subsets of integers that seem to strenghten the speakers' identity information. These results suggest a new direction in the identification of subjects by voice: one in which arrangements of integers define voiceprints that stand on their own, despite any acceptance/rejection thresholds. © 2004 Elsevier B.V. All rights reserved.  |l eng 
536 |a Detalles de la financiación: Umweltbundesamt 
536 |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas 
536 |a Detalles de la financiación: This work was partially funded by UBA, CONICET and ANCyT, Argentina. 
593 |a Departamento de Física, FCEyN, Univ. de Buenos Aires Cd. Univ., Pab. 1 CI428EGA Buenos Aires, Argentina 
593 |a Centro de Estudios e Imestigaciones, Universidad Nacional de Quilmes, Roque Sáenz Peña 180, Bernai, B1876BXD Buenos Aires, Argentina 
690 1 0 |a BIOMETRICS 
690 1 0 |a SPEAKER RECOGNITION 
690 1 0 |a TOPOLOGICAL INDEXES 
690 1 0 |a DEFORMATION 
690 1 0 |a ERGONOMICS 
690 1 0 |a INTEGER PROGRAMMING 
690 1 0 |a MODULATION 
690 1 0 |a OSCILLATIONS 
690 1 0 |a PRESSURE EFFECTS 
690 1 0 |a CROSS-COUNTING ALGORITHMS 
690 1 0 |a POWER SPECTRUM 
690 1 0 |a SPEECH SEGMENTS 
690 1 0 |a VOICEPRINTS 
690 1 0 |a SPECTRUM ANALYSIS 
700 1 |a Eguia, M.C. 
700 1 |a Mindlin, G.B. 
773 0 |d 2005  |g v. 200  |h pp. 75-80  |k n. 1-2  |p Phys D Nonlinear Phenom  |x 01672789  |w (AR-BaUEN)CENRE-277  |t Physica D: Nonlinear Phenomena 
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856 4 0 |u https://doi.org/10.1016/j.physd.2004.09.008  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_01672789_v200_n1-2_p75_Trevisan  |y Handle 
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